code: def check_diff_freq(self):
      self._init_qlib()
      exp = R.get_exp(experiment_name="backtest")
      rec = next(
          iter(exp.list_recorders().values())
      )  # assuming this will get the latest recorder
      for check_key in "account", "total_turnover", "total_cost":
          check_key = "total_cost"
  
          acc_dict = {}
          for freq in ["30minute", "5minute", "1day"]:
              acc_dict[freq] = rec.load_object(
                  f"portfolio_analysis/report_normal_{freq}.pkl"
              )[check_key]
          acc_df = pd.DataFrame(acc_dict)
          acc_resam = acc_df.resample("1d").last().dropna()
          assert (acc_resam["30minute"] == acc_resam["1day"]).all()
  
file_path: qlib/examples/nested_decision_execution/workflow.py
imports: from copy import deepcopy
  import qlib
  import fire
  import pandas
  from qlib.constant import REG_CN
  from qlib.config import HIGH_FREQ_CONFIG
  from qlib.data import D
  from qlib.utils import exists_qlib_data, init_instance_by_config, flatten_dict
  from qlib.workflow import R
  from qlib.workflow.record_temp import SignalRecord, PortAnaRecord
  from qlib.tests.data import GetData
  from qlib.backtest import collect_data
label_desc: Use image node_id 5 for calling the NestedDecisionExecutionWorkflow obj's underlying member method code with example usage: obj.check_diff_freq() without return types